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README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- cnn_dailymail
+metrics:
+- rouge
+model-index:
+- name: small-1-1-t
+  results:
+  - task:
+      name: Summarization
+      type: summarization
+    dataset:
+      name: cnn_dailymail 3.0.0
+      type: cnn_dailymail
+      config: 3.0.0
+      split: validation
+      args: 3.0.0
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 21.3044
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# small-1-1-t
+
+This model is a fine-tuned version of [asy/cnndm/small-1-1](https://huggingface.co/asy/cnndm/small-1-1) on the cnn_dailymail 3.0.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9400
+- Rouge1: 21.3044
+- Rouge2: 6.0469
+- Rougel: 16.6241
+- Rougelsum: 19.5658
+- Gen Len: 60.0259
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1
+- Tokenizers 0.12.1

all_results.json

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+    "eval_loss": 2.9400060176849365,
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+    "eval_rouge2": 6.0469,
+    "eval_rougeL": 16.6241,
+    "eval_rougeLsum": 19.5658,
+    "eval_runtime": 647.327,
+    "eval_samples": 13368,
+    "eval_samples_per_second": 20.651,
+    "eval_steps_per_second": 5.163,
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+    "train_runtime": 9222.8795,
+    "train_samples": 287113,
+    "train_samples_per_second": 93.392,
+    "train_steps_per_second": 1.459
+}

config.json

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+{
+  "_name_or_path": "asy/cnndm/small-1-1",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
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+  "d_kv": 64,
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+  "layer_norm_epsilon": 1e-06,
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+  "num_layers": 1,
+  "output_past": true,
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+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
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+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

eval_results.json

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+    "eval_loss": 2.9400060176849365,
+    "eval_rouge1": 21.3044,
+    "eval_rouge2": 6.0469,
+    "eval_rougeL": 16.6241,
+    "eval_rougeLsum": 19.5658,
+    "eval_runtime": 647.327,
+    "eval_samples": 13368,
+    "eval_samples_per_second": 20.651,
+    "eval_steps_per_second": 5.163
+}

generation_config.json

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+  "transformers_version": "4.27.0.dev0"
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